顾及时空边界不一致性的增量识别计算

在快照式空间数据的增量识别中，时空目标的边界不一致性造成识别结果中存在伪增量，严重影响了增量信息的准确识别。针对现有方法不能区分哪些狭长多边形是边界不一致性造成的伪增量、哪些是地物本身呈狭长形态的真增量这一问题，本文研究提出了一种新的增量识别计算方法，该方法通过对时空目标边界的不一致性进行量化，并对量化结果进行判断，从而区分出真伪增量，并结合1:5万基础地理数据的增量识别进行了实验验证。研究与实验表明，该方法能够更加准确地识别增量，提高了变化分析的精度。

Increments Recognition and Calculation Considering the Constraints of Spatio-temporal Boundaries

Spurious increments caused by spatio-temporal boundaries exist inevitably in the results of increments recognition with two database, which has seriously reduced the accuracy of the incremental information. However, the current methods cannot distinct the spurious increments appeared as slivers caused by spatio-temporal boundaries, and the true increments caused by the slivers entities. Aim to solve this problem, a new method of increments recognition and calculation is proposed in this paper. And firstly, distance between spatio-temporal boundaries is used to quantified the inconsistency of spatio-temporal boundaries, and then the distance is compared with the updating threshold to distinguish the spurious increments and the true increments. Finally, the method is applied to the incements recognition of spatial database at the scale of 1: 50 000. The experimental results show that our method is valid and has stronger practicality.